Article
Remote Sensing
Menghua Wang, Lide Jiang, Karlis Mikelsons, Xiaoming Liu
Summary: This study presents the production of the first-ever near-real-time global daily chlorophyll-a anomaly products, which can detect and identify algae blooms using satellite ocean color measurements. The anomalies represent abnormal chlorophyll-a conditions in global oceans and coastal areas and can be used for various applications, with detailed algorithms and global data processing procedures provided. Several examples demonstrate the detection of algae blooms, including harmful algal blooms, and quantitative evaluations of chlorophyll-a anomalies over global oceans and coastal/inland waters are discussed.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Engineering, Multidisciplinary
Sanjeevi Pandiyan, C. Navaneethan, R. Vijayan, G. Gunasekaran, K. Y. Khan, Ya Guo
Summary: This study compared the response of satellite solar-induced chlorophyll fluorescence (SIF) with soil moisture, precipitation, standardized precipitation evapotranspiration index, and evapotranspiration to monitor drought stress on crop growth. The results demonstrate that satellite SIF provides deep insight for drought detection, with SPEI and ET showing higher sensitivity and more constant decline in response to drought compared to SM and PPT.
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu
Summary: Using satellite observations of SIF, this study reveals an increase in SIFyield with rising elevation in Tibetan meadows in summer, indicating higher temperature sensitivity at high altitudes. The results also suggest that changes in photosynthesis-related physiological functions at high altitudes should receive more attention in climate change research.
Article
Environmental Sciences
Micol Rossini, Marco Celesti, Gabriele Bramati, Mirco Migliavacca, Sergio Cogliati, Uwe Rascher, Roberto Colombo
Summary: The spatial representativeness of in situ SIF observations compared to medium-resolution SIF products is addressed in this study. An optimal sampling strategy to characterize the spatial representativeness is proposed and applied to agricultural areas. The results show that 3 to 13.5 sampling points are needed to represent the average SIF value. The number of sampling points increases with the standard deviation of SIF and the number of land cover classes in a FLEX pixel.
Article
Environmental Sciences
Ni Yang, Shunping Zhou, Yu Wang, Haoyue Qian, Shulin Deng
Summary: Under the background of global warming, drought has become a serious threat to sugarcane growth and yield, but the understanding of sugarcane responses to drought stress is limited. This study used satellite data to investigate the impacts of drought on sugarcane in a major sugarcane-planting region of China. The results showed that the satellite solar-induced chlorophyll fluorescence (SIF) can provide earlier and more pronounced physiological responses to drought stress than the traditional vegetation index (enhanced vegetation index, EVI). These findings are important for developing early warning models for sugarcane drought monitoring and mitigating the negative impacts on sugarcane yield and regional economics.
Article
Biochemistry & Molecular Biology
Hikaru Endo, Hikari Moriyama, Yutaka Okumura
Summary: Plants and brown algae have photoprotective mechanisms to avoid photoinhibition caused by excess light and oxidative stress. This study found that NPQ increased under high light and nutrient-deficient conditions. However, nutrient deficiency had limited effects on photoprotective substances.
Article
Geosciences, Multidisciplinary
Peiqi Yang, Egor Prikaziuk, Wout Verhoef, Christiaan van Der Tol
Summary: The SCOPE model links satellite observations with land surface processes, simulating radiative transfer, photosynthesis, and heat dissipation. The new SCOPE 2.0 includes features such as layers with different leaf properties, soil reflectance simulation, and computation speed improvement by 90%. These enhancements strengthen the model's ability to represent complex canopies and explore vegetation response to remote sensing signals.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Remote Sensing
Shilei Li, Maofang Gao, Zhao-Liang Li, Sibo Duan, Pei Leng
Summary: This study evaluated the impact of parameter selection on far-red SIF retrieval, indicating that factors such as the number of singular values, fitting window length, and training set elements could affect retrieval accuracy. Suggestions for improved accuracy in future applications were provided based on the findings.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Meteorology & Atmospheric Sciences
Lu Yao, Yi Liu, Dongxu Yang, Zhaonan Cai, Jing Wang, Chao Lin, Naimeng Lu, Daren Lyu, Longfei Tian, Maohua Wang, Zengshan Yin, Yuquan Zheng, Sisi Wang
Summary: This study retrieved 1-year of solar-induced chlorophyll fluorescence (SIF) data from TanSat and OCO-2 satellite measurements, and compared the results to validate the retrieval algorithm. The comparison showed a strong linear relationship and spatial consistency between the two datasets, indicating the potential of both satellites in quantitatively characterizing ecosystem productivity. The joint usage of TanSat and OCO-2 data is expected to contribute to the development of global SIF maps with more spatiotemporal detail.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Bastian Buman, Andreas Hueni, Roberto Colombo, Sergio Cogliati, Marco Celesti, Tommaso Julitta, Andreas Burkart, Bastian Siegmann, Uwe Rascher, Matthias Drusch, Alexander Damm
Summary: The aim of this study is to outline strategies for the calibration and validation of radiometric measurements and retrieved sun-induced chlorophyll fluorescence (SIF) in the upcoming FLEX satellite mission. The analysis of in situ spectrometer measurements showed an average bias of 8% between two radiometric measurements, with larger variability in measurements of downwelling radiance compared to upwelling radiance. The study also emphasized the importance of careful site selection, measurement protocols, and harmonized processing.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Engineering, Civil
Yaojie Liu, Yongguang Zhang, Nan Shan, Zhaoying Zhang, Zhongwang Wei
Summary: Accurately assessing terrestrial ecosystem transpiration (T) is crucial for understanding vegetation-atmosphere interactions under climate change. This study explores the potential of solar-induced chlorophyll fluorescence (SIF) in estimating T. Using a combination of satellite SIF data and ground observations, a model is developed to estimate T for different plant functional types (PFTs). Results show a strong relationship between SIF and the product of canopy conductance and vapor pressure deficit. The estimated T/ET ratio is consistent with other methods, indicating the robustness of the approach. This method provides valuable insights into ecohydrological processes and can be a useful tool for T and ET estimation using remote sensing.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Bram Valkenborg, Gabrielle J. M. De Lannoy, Alexander Gruber, Diego G. Miralles, Philipp Koehler, Christian Frankenberg, Ankur R. Desai, Elyn Humphreys, Janina Klatt, Annalea Lohila, Mats B. Nilsson, Eeva-Stiina Tuittila, Michel Bechtold
Summary: This study investigates water-related vegetation stress in northern peatlands using satellite-observed Solar-Induced chlorophyll Fluorescence (SIF). The results show that most locations experience both drought and waterlogging stress, while some regions only experience waterlogging or drought stress. The study finds that the minimal water-related vegetation stress occurs at a water table depth of -0.22 m (short-term) and -0.20 m (long-term).
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Remote Sensing
Lingfeng Li, Bo Qiu, Weidong Guo, Yiping Zhang, Qinghai Song, Jiuyi Chen
Summary: Research on plant responses to drought in southwestern China in 2019 showed significant impacts on vegetation phenology and photosynthesis, with the rewatering process in July alleviating water deficits and reducing drought damage to plants. Solar-induced chlorophyll fluorescence (SIF) measurements were found to provide valuable insights into the physiological responses of plants, indicating a stronger recovery in plant photosynthesis compared to traditional vegetation indices. Additionally, SSiB2 simulations captured the physiological responses of plants to moisture deficit during drought periods, highlighting the potential of remote sensing SIF measurements for monitoring plant physiology changes in response to water conditions.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Xinyun Wang, Shufen Pan, Naiqing Pan, Peipei Pan
Summary: This study explored the potential of using SIF to monitor and assess the effects of climate change and meteorological drought on aboveground biomass changes in the northern grassland of China. The results showed that SIF is highly sensitive to meteorological drought and can capture the dynamics of grassland growth. The correlation between SIF, drought indices, and aboveground biomass varied with grassland type.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Junjun Cao, Qi An, Xiang Zhang, Shan Xu, Tong Si, Dev Niyogi
Summary: This study investigated the potential of satellite observation SIF for monitoring corn response to drought based on the 2012 drought in the US Corn Belt. Results showed that SIFyield was sensitive to drought, and SIF captured the stress more accurately at both regional and state scales in the US Corn Belt.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)